The capture of high-quality treatment data and outcomes is necessary in order to learn from our clinical experiences with big data analytics. In radiotherapy, there are several practical challenges to overcome. Practical aspects of data collection are discussed pointing to a need for a culture change in clinical practice to one that captures structured patient-related data in routine care in a prospective manner. Radiation dosimetry and the contoured anatomy must also be captured routinely to represent the best estimate of delivered radiation. The quality and integrity present in the data are critical which poses opportunities to introduce electronic validity checking to improve them. Similarly, data completeness and methods and technology to improve the efficiency and sufficiency of data capture can be introduced. In the manuscript, the types of clinical data are discussed including patient reports, images, biospecimens, treatments, and symptom management. With a data-driven culture, the realization of a learning health system is possible unlocking the potential of big data and its influence on clinical decision-making and hypothesis generation.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/mp.12817 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Improving estimation efficiency for survival data analysis by integrating a coarsened time-to-event outcome from an external study.
Biometrics
January 2025
Department of Population and Quantitative Health Sciences, Case Western Reserve University School of Medicine, Cleveland, OH 44106, United States.
In the era of big data, increasing availability of data makes combining different data sources to obtain more accurate estimations a popular topic. However, the development of data integration is often hindered by the heterogeneity in data forms across studies. In this paper, we focus on a case in survival analysis where we have primary study data with a continuous time-to-event outcome and complete covariate measurements, while the data from an external study contain an outcome observed at regular intervals, and only a subset of covariates is measured.
View Article and Find Full Text PDFPreventable hospitalizations through ED: does the number of hospital beds matter under the global budget in a single-payer system in Taiwan?
Front Public Health
January 2025
Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan.
Background: Taiwan implemented global hospital budgeting with a floating-point value, which created a prisoner's dilemma. As a result, hospitals increased service volume, which caused the floating-point value to drop to less than one New Taiwan Dollar (NTD). The recent increase in the number of hospital beds and the call to enhance the floating-point value to one NTD raise concerns about the potential for increased financial burden without adding value to patient care if hospitals expand their bed capacity for volume-based competition.
View Article and Find Full Text PDFCorrigendum: Modulation of local immunity by the vaginal microbiome is associated with triggering spontaneous preterm birth.
Front Immunol
January 2025
Microbiome-X, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.
[This corrects the article DOI: 10.3389/fimmu.2024.
View Article and Find Full Text PDFIdentification of key genes affecting intramuscular fat deposition in pigs using machine learning models.
Front Genet
January 2025
College of Animal Science and Technology, China Agricultural University, Beijing, China.
Intramuscular fat (IMF) is an important indicator for evaluating meat quality. Transcriptome sequencing (RNA-seq) is widely used for the study of IMF deposition. Machine learning (ML) is a new big data fitting method that can effectively fit complex data, accurately identify samples and genes, and it plays an important role in omics research.
View Article and Find Full Text PDFEstablishment of reference audiometric norms for the elderly population: A community-based study on mean and median hearing thresholds.
Heliyon
January 2025
Information Management Office, Taipei Veterans General Hospital, Taipei, 112, Taiwan.
Background: This investigation quantifies the mean and median hearing thresholds and assesses the prevalence of age-related hearing loss within the senior population of Taipei.
Methods: In a substantive geriatric assessment supported by government initiative, 1696 individuals from a community hospital partook in this cross-sectional study (2016-2018). Detailed audiometric evaluations logged pure-tone thresholds across critical frequencies (0.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!